起重机载荷系统状态观测器的设计与仿真

Yan Zhao, Jian Cui, Bin Zhong
{"title":"起重机载荷系统状态观测器的设计与仿真","authors":"Yan Zhao, Jian Cui, Bin Zhong","doi":"10.1115/1.859810.paper50","DOIUrl":null,"url":null,"abstract":"In order to resolve the problem that the load's swing angle and swing angle-velocity of overhead crane or gantry crane are hard to be measured directly in engineering practice,the state observer was designed by using trolley's position information to estimate the load's swing angle and angle-velocity.The difference values between the state observer's output and the trolley-load system's output were introduced and adjusted by the observer's gain vector and then sent to the observer's input terminal.After the observer's poles were placed on complex plane,the system can estimate the swing angle and swing angle-velocity stably and quickly.Simulation study shows that the method of obtaining load's swing angle information based on state estimation is practicable,and state observer can be availlable online in 2s,which has strong robust property.Along with rising of the pole number,state observer can be adaptive more widely in the changing of load mass and rope length.However,estimation error will change roughly when the pole number is too hign,and observer is more sensitive to rope length than to load mass.","PeriodicalId":66490,"journal":{"name":"计算机仿真","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Simulation on State Observer for Crane-Load System\",\"authors\":\"Yan Zhao, Jian Cui, Bin Zhong\",\"doi\":\"10.1115/1.859810.paper50\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to resolve the problem that the load's swing angle and swing angle-velocity of overhead crane or gantry crane are hard to be measured directly in engineering practice,the state observer was designed by using trolley's position information to estimate the load's swing angle and angle-velocity.The difference values between the state observer's output and the trolley-load system's output were introduced and adjusted by the observer's gain vector and then sent to the observer's input terminal.After the observer's poles were placed on complex plane,the system can estimate the swing angle and swing angle-velocity stably and quickly.Simulation study shows that the method of obtaining load's swing angle information based on state estimation is practicable,and state observer can be availlable online in 2s,which has strong robust property.Along with rising of the pole number,state observer can be adaptive more widely in the changing of load mass and rope length.However,estimation error will change roughly when the pole number is too hign,and observer is more sensitive to rope length than to load mass.\",\"PeriodicalId\":66490,\"journal\":{\"name\":\"计算机仿真\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"计算机仿真\",\"FirstCategoryId\":\"1093\",\"ListUrlMain\":\"https://doi.org/10.1115/1.859810.paper50\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"计算机仿真","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.1115/1.859810.paper50","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

为了解决工程实践中难以直接测量桥式起重机或门式起重机载荷的摆角和摆角速度的问题,设计了状态观测器,利用小车的位置信息估计载荷的摆角和摆角速度。引入状态观测器输出与有轨电车负载系统输出的差值,通过观测器的增益矢量进行调整,然后送入观测器的输入端。将观测器极点置于复杂平面上后,该系统可以稳定快速地估计出摆动角和摆动角速度。仿真研究表明,基于状态估计获取负载摆角信息的方法是可行的,状态观测器可在2s内在线获得,具有较强的鲁棒性。随着杆数的增加,状态观测器对负载质量和绳长变化的适应性增强。然而,当极数过高时,估计误差会发生大致变化,并且观测器对绳长比负载质量更敏感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Design and Simulation on State Observer for Crane-Load System
In order to resolve the problem that the load's swing angle and swing angle-velocity of overhead crane or gantry crane are hard to be measured directly in engineering practice,the state observer was designed by using trolley's position information to estimate the load's swing angle and angle-velocity.The difference values between the state observer's output and the trolley-load system's output were introduced and adjusted by the observer's gain vector and then sent to the observer's input terminal.After the observer's poles were placed on complex plane,the system can estimate the swing angle and swing angle-velocity stably and quickly.Simulation study shows that the method of obtaining load's swing angle information based on state estimation is practicable,and state observer can be availlable online in 2s,which has strong robust property.Along with rising of the pole number,state observer can be adaptive more widely in the changing of load mass and rope length.However,estimation error will change roughly when the pole number is too hign,and observer is more sensitive to rope length than to load mass.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
22147
期刊介绍:
期刊最新文献
Compensation Sliding Cross Coupling Control Research of Cartesian Coordinate Robot Load System Modeling of Ultra-Supercritical Coal-Fired Power Unit Based on Improved Particle Swarm Optimization Small Fault Detection Based on Cumulative Sum of Neighbor Statistic Research on Combat Simulation Body of Knowledge Gas-liquid Two-phase Flow Pattern Recognition Method Based on Convolutional Neural Network
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1